A Memetic Algorithm for Routing in Urban Public Transportation Networks

Author(s):  
Jolanta Koszelew ◽  
Krzysztof Ostrowski
2018 ◽  
Vol 10 (3) ◽  
pp. 7-22
Author(s):  
Paweł Sobczak ◽  
Ewa Stawiarska ◽  
Judit Oláh ◽  
József Popp ◽  
Tomas Kliestik

Abstract The main purpose of the paper was the structural analysis of the connections network used by a railway carrier Koleje Dolnośląskie S.A. operating in southern Poland. The analysis used simulation methods. The analysis and simulation were based on graph theory, which is successfully used in analysing a wide variety of networks (social, biological, computer, virtual and transportation networks). The paper presents indicators which allow judging the analysed connections network according to an appropriate level of transport services. Simulation results allowed proposing some modifications for the improvement of the analysed connections network. The paper also demonstrates that graph theory and network simulations should be used as tools by transportation companies during the stage of planning a connections network.


2017 ◽  
Vol 62 (3) ◽  
pp. 600-621 ◽  
Author(s):  
Kateřina Böhmová ◽  
Luca Häfliger ◽  
Matúš Mihalák ◽  
Tobias Pröger ◽  
Gustavo Sacomoto ◽  
...  

Networks ◽  
2017 ◽  
Vol 69 (4) ◽  
pp. 349-366 ◽  
Author(s):  
Benjamin Otto ◽  
Nils Boysen

2016 ◽  
Vol 131 (2) ◽  
pp. 891-941 ◽  
Author(s):  
Jérôme Adda

Abstract Viruses are a major threat to human health, and—given that they spread through social interactions—represent a costly externality. This article addresses three main questions: (i) what are the unintended consequences of economic activity on the spread of infections; (ii) how efficient are measures that limit interpersonal contacts; (iii) how do we allocate our scarce resources to limit the spread of infections? To answer these questions, we use novel high frequency data from France on the incidence of a number of viral diseases across space, for different age groups, over a quarter of a century. We use quasi-experimental variation to evaluate the importance of policies reducing interpersonal contacts such as school closures or the closure of public transportation networks. While these policies significantly reduce disease prevalence, we find that they are not cost-effective. We find that expansions of transportation networks have significant health costs in increasing the spread of viruses, and that propagation rates are pro-cyclically sensitive to economic conditions and increase with inter-regional trade.


2019 ◽  
Vol 60 (3) ◽  
pp. 178-183
Author(s):  
Daiki OKUDA ◽  
Takuya WATANABE ◽  
Noriko FUKASAWA ◽  
Takamasa SUZUKI ◽  
Hiroyuki SAKAKIBARA ◽  
...  

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